A distribution \(\gamma \in {\rm M}^1(X)\)  is called Gaussian
(see [1]})
if its characteristic function can be represented in the form
\(\hat{\gamma }(y)= (x,y)\exp \lbrace -\varphi (y)\rbrace , \ \ y\in Y,\) 
